CHAP 1: CALUCULATING AND PRESENTING DATA Flashcards
(31 cards)
(In terms of data) DEFINE qualitative.
Measured by qualities/Descriptive of object rather than number.
(In terms of data) DEFINE quantitative.
Is able to be measured numerically.
(In terms of data) DEFINE continuous.
Contains decimals and is in a specific measurement.
(In terms of data) DEFINE discrete.
Is a whole number.
(In terms of data) DEFINE categorical.
Is not numerical and has categories.
(In terms of data) DEFINE nominal.
Data that cannot be ordered.
(In terms of data) DEFINE ordinal.
Data that can be ordered.
(In terms of data) DEFINE bias.
An outlying variable within data.
(In terms of data) DEFINE frequency.
The number of times the specific data occurs.
(In terms of data) DEFINE distribution table.
Summarised values and their frequencies in a table.
(In terms of data) DEFINE class centre.
The addition of the ranges in grouped data (highest + lowest no.) divided by 2.
(In terms of data) DEFINE grouped data.
Bundled data shown as a range. (Even amount of data over all groups).
(In terms of data) DEFINE mode.
The most frequent number in a set of data.
(In terms of data) DEFINE mean.
The average of all the data combined.
(In terms of data) DEFINE median.
Ordered datas middle number.
(In terms of data) DEFINE range.
The highest number minus the lowest number.
(In terms of data) DEFINE interquartile range.
Q1 - median between lowest number and Q2.
Q2 - median of complete data.
Q3 - median between highest number and Q2.
(In terms of data) DEFINE census.
Data collected over a whole population.
(In terms of data) DEFINE sample.
Data collected over part of the population.
(In terms of data) DEFINE observation.
Numerical facts are viewed, collected and tabulated.
(In terms of data) DEFINE stratified sample.
Population is broken into categories, data is then collected from a sample of each category.
(In terms of data) DEFINE random sample.
All members of the population have equal chance of selection.
(In terms of data) DEFINE systematic sample.
Population is divided into structured samples. (Such as every second person).
(In terms of data) DEFINE self-selecting sample.
The individuals choose to be part of the data collection.